In this digital age, we are observing an exponential proliferation of sophisticated hardware-and software-based solutions that are able to interact with the users at almost every sensitive aspect of our lives, collecting and analysing a range of data about us. These data, or the derived information out of it, are often too personal to fall into unwanted hands, and thus users are almost always wary of the privacy of such private data that are being continuously collected through these digital mediums. To further complicate the issue, the infringement cases of such databanks are on a sharp rise. Several frameworks have been devised in various parts of the globe to safeguard the issue of data privacy; in parallel, constant research is also being conducted on closing the loopholes within these frameworks. This study aimed to analyse the contemporary privacy by design frameworks to identify the key limitations.
In essence is it applying all different types of what if scenarios on large swaths of data to get possible. Abstract Identity theft is at an all time high in America. That amount of loss nearly doubled what was accumulated in other types of theft such as burglary, property theft, and auto theft. These cases of identity theft and data breaches have became so common today that most do not even pay close attention when a new case is mentioned. However, the effort to.
A systematic literature review on privacy by design in the healthcare sector